Overview
- Explains and demonstrates various styles of visualizations (including 3D visualizations)
- Explains and demonstrates histograms, streamplots, and heatmaps
- Covers visualization of data stored in NumPy, Ndarrays and Pandas data frames
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Table of contents (18 chapters)
Keywords
About this book
You'll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, you'll explore NumPy and ndarray data structures, creation routines, and data visualization. You'll examine useful concepts related to style sheets, legends, and layouts, followed by line, bar, and scatter plots. Chapters then cover recipes of histograms, contours, streamplots, and heatmaps, and how to visualize images and audio with pie and polar charts.
Moving forward, you'll learn how to visualize with pcolor, pcolormesh, and colorbar, and how to visualize in 3D in Matplotlib, create simple animations, and embed Matplotlib with different frameworks. The concluding chapters cover how to visualize data with Pandas and Matplotlib, Seaborn, and how to work with the real-life data and visualize it. After reading Hands-on Matplotlib you'll be proficient with Matplotlib and able to comfortably work with ndarrays in NumPy and data frames in Pandas.
What You'll Learn
- Understand Data Visualization and Python using Matplotlib
- Review the fundamental data structures in NumPy and Pandas
- Work with 3D plotting, visualizations, and animations
- Visualize images and audio data
Data scientists, machine learning engineers and software professionals with basic programming skills.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Hands-on Matplotlib
Book Subtitle: Learn Plotting and Visualizations with Python 3
Authors: Ashwin Pajankar
DOI: https://doi.org/10.1007/978-1-4842-7410-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Ashwin Pajankar 2022
Softcover ISBN: 978-1-4842-7409-5Published: 28 November 2021
eBook ISBN: 978-1-4842-7410-1Published: 27 November 2021
Edition Number: 1
Number of Pages: XVIII, 299
Number of Illustrations: 229 b/w illustrations, 3 illustrations in colour
Topics: Python, Open Source